Fundamentals of multiframe particle image velocimetry (PIV)
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A sophisticated strategy for the evaluation of time-resolved PIV image sequences is presented which takes the temporal variation of the particle image pattern into account. The primary aim of the method is to increase the accuracy and dynamic range by locally adopting the particle image displacement for each interrogation window to overcome the largest drawback of PIV. This is required in order to resolve flow phenomena which have so far remained inaccessible. The method locally optimizes the temporal separation between the particle image pairs by taking first and second order effects into account. The validation of the evaluation method is performed with synthetically generated particle image sequences based on the solution of a direct numerical simulation. In addition, the performance of the evaluation approach is demonstrated by means of a real image sequence measured with a time-resolved PIV system.
KeywordsParticle Image Velocimetry Interrogation Window Particle Image Velocimetry System CMOS Camera Relative Measurement Error
This research has been supported by the German Research Foundation (DFG) in the priority program 1147 “Bildgebende Messverfahren für die Strömungsanalyse”. The authors would like to thank Dr. Rist from the University of Stuttgart for providing the DNS data.
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